DAP is a 160-year-old industrial manufacturer and long-time PIM user. When Kenya Czerwinski joined as the PIM/DAM administrator last year, she inherited a system that had launched but hadn't yet proven it could run the business. The primary issue was a retail syndication effort with major partners that had cost the program credibility.

In this live Q&A, Kenya talks candidly with Justin Alvia of Ntara.   

They’ll discuss:

Share experiences. Network and visit the exhibition live demos to contrast and compare, and talk to those who have the solution you might need.

Across AI, In-Store Experiences, and Online

Context:
Found isn't enough anymore, products need to get chosen. And today, that choice happens across more surfaces than ever before: 

• AI bots and assistants, 
• Generative engine optimization (GEO), 
• In-store experiences, 
• Social commerce, 
• Traditional online shopping.

 Each running on a different kind of product content, even though it all starts from the same source.

How one consumer packaged goods’ company is taking a fresh look at best practice - data quality and integrity are paramount for any PIM integration to be successful. 

Covering:

• The challenges of disparate, disconnected data systems.
• Identifying data gaps between systems.
• Deploying requisite workstreams to achieve data integrity prior to integration implementation. 
• Building a business case for integration.

Context:

Rolling out a PIM strategy might look straightforward on paper. In reality, it's an act of people, processes, technology, and change.

Seen it, done it before:

Experienced practitioners who have met the challenges of PIM transformation share what they know about what it really takes to make it work.

Exhibition Opens - your chance to check out the live demos, to contrast and compare.

Networking prompt and let’s ‘break the ice’ - connect with someone you’ve not met before! Mingle with your peers. Take time to forge a new connection in your PIM community.

Share challenges - and success stories too!